The GenoDiabMar Registry : a Collaborative Research Platform of Type 2 Diabetes Patients
Sierra, Adriana (Institut Hospital del Mar d'Investigacions Mèdiques)
Otero, Sol (Consorci Sanitari Alt Penedès-Garraf)
Rodríguez García, Eva (Institut Hospital del Mar d'Investigacions Mèdiques)
Faura, Anna (Institut Hospital del Mar d'Investigacions Mèdiques)
Vera, María (Institut Hospital del Mar d'Investigacions Mèdiques)
Riera Oliva, Marta (Institut Hospital del Mar d'Investigacions Mèdiques)
Palau, Vanesa (Institut Hospital del Mar d'Investigacions Mèdiques)
Duran-Jordà, Xavier (Institut Hospital del Mar d'Investigacions Mèdiques)
Costa-Garrido, Anna (Institut Hospital del Mar d'Investigacions Mèdiques)
Sans, Laia (Institut Hospital del Mar d'Investigacions Mèdiques)
Márquez, Eva (Institut Hospital del Mar d'Investigacions Mèdiques)
Poposki, Vladimir (Institut Hospital del Mar d'Investigacions Mèdiques)
Franch-Nadal, Josep (Institut Universitari d'Investigació en Atenció Primària Jordi Gol)
Mundet-Tudurí, Xavier (Universitat Autònoma de Barcelona. Departament de Medicina)
Oliveras, Anna (Institut Hospital del Mar d'Investigacions Mèdiques)
Crespo, Marta (Institut Hospital del Mar d'Investigacions Mèdiques)
Pascual Santos, Julio (Institut Hospital del Mar d'Investigacions Mèdiques)
Barrios, Clara (Institut Hospital del Mar d'Investigacions Mèdiques)

Date:	2022
Abstract:	The GenoDiabMar registry is a prospective study that aims to provide data on demographic, biochemical, and clinical changes in type 2 diabetic (T2D) patients attending real medical outpatient consultations. This registry is also used to find new biomarkers related to the micro-and macrovascular complications of T2D, with a particular focus on diabetic nephropathy. With this purpose, longitudinal serum and urine samples, DNA banking, and data on 227 metabolomics profiles, 77 immunoglobulin G glycomics traits, and other emerging biomarkers were recorded in this cohort. In this study, we show a detailed longitudinal description of the clinical and analytical parameters of this registry, with a special focus on the progress of renal function and cardiovascular events. The main objective is to analyze whether there are differential risk factors for renal function deterioration between sexes, as well as to analyze cardiovascular events and mortality in this population. In total, 650 patients with a median age of 69 (14) with different grades of chronic kidney disease- G1-G2 (eGFR > 90-60 mL/min/1. 73 m) 50. 3%, G3 (eGFR; 59-30 mL/min/1. 73 m) 31. 4%, G4 (eGFR; 29-15 mL/min/1. 73 m) 10. 8%, and G5 (eGFR < 15 mL/min/1. 73 m) 7. 5%-were followed up for 4. 7 (0. 65) years. Regardless of albuminuria, women lost 0. 93 (0. 40-1. 46) fewer glomerular filtration units per year than men. A total of 17% of the participants experienced rapid deterioration of renal function, 75. 2% of whom were men, with differential risk factors between sexes-severe macroalbuminuria > 300 mg/g for men OR [IQ] 2. 40 [1. 29:4. 44] and concomitant peripheral vascular disease 3. 32 [1. 10:9. 57] for women. Overall mortality of 23% was detected (38% of which was due to cardiovascular etiology). We showed that kidney function declined faster in men, with different risk factors compared to women. Patients with T2D and kidney involvement have very high mortality and an important cardiovascular burden. This cohort is proposed as a great tool for scientific collaboration for studies, whether they are focused on T2D, or whether they are interested in comparing differential markers between diabetic and non-diabetic populations.
Grants:	Ministerio de Economía y Competitividad PI16/00620
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Type 2 diabetes ; Real-world patient registry ; Epidemiology ; Diabetes complication ; Renal function ; Sex differences ; Multiomic collaborative platform
Published in:	Journal of clinical medicine, Vol. 11 Núm. 5 (march 2022) , p. 1431, ISSN 2077-0383

DOI: 10.3390/jcm11051431
PMID: 35268522

14 p, 1.2 MB

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